Towards Independent Color Space Selection for Human Skin Detection

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	Towards Independent Color Space Selection for Human Skin Detection
	Tao Xu; Yunhong Wang; Zhaoxiang Zhang
	2012-12-04
会议名称	Pacific-Rim Conference on Multimedia
会议录名称	PCM 2012
会议日期	4-6 December 2012
会议地点	Singapore, Singapore
摘要	Skin color detection plays an important role in video based applications. Without considering the selection of suitable color space, a novel skin color detection method is proposed based on the flexible neural tree, which can identify the important components of color spaces automatically. With large training data sets, our method builds a flexible neural tree structure and optimizes its parameters using Genetic Programming and Particle Swarm Optimization algorithms. In experiments, features comprised of all channels extracted from RGB, YCbCr and HSV color spaces are used for the constructing and evaluating of the novel skin color model, in which six most important components, i.e., R, G, B, Y, Cr and S are selected for testing. Furthermore, our method achieves higher accuracy and lower false positive rate than state of the art methods on Compaq and ECU data set.
关键词	Skin Detection Color Space Flexible Neural Tree Skin Classification
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13257
专题	智能感知与计算研究中心
通讯作者	Zhaoxiang Zhang
推荐引用方式 GB/T 7714	Tao Xu,Yunhong Wang,Zhaoxiang Zhang. Towards Independent Color Space Selection for Human Skin Detection[C],2012.